Regions Bank BSA/AML Quantitative Modeling Analyst in Birmingham, Alabama
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At Regions, the Quantitative Modeling Analyst is responsible for developing quantitative/analytic models and applications in support of the firm's risk management effort. Associates in this job family is typically in a corporate function providing support across the entire firm or to multiple business segments.
Develops analytical methods and models that assess the market, credit and / or operational risks of new and existing financial products
Participates in the research, design and implementation of new financial products or in the development of trading or hedging strategies
Consults with the business segments in researching the development of risk management models for new and existing products
Develops various analytic models including sensitivity analyses, stress testing, value-at-risk, scenario testing, and Monte Carlo simulations
Is focused on the development of the theory and mathematics behind various models
This position is exempt from timekeeping requirements under the Fair Labor Standards act and is not eligible for overtime pay.
Bachelors degree in Statistics, Mathematics, or Quantitative Finance and four years related experience
Or Masters degree in Statistics, Mathematics, or Quantitative Finance with two years related experience
Skills and Competencies
Proficiency with SAS, SQL and Visual Basic Script within Microsoft Excel
Advanced data management skills
Ability to source data and convert it into a usable form without the benefit of a fully-developed data mart
Ph.D in Statistics, Mathematics, or Quantitative Finance
Chartered Financial Analyst (CFA)
Financial Risk Manager (FRM)
This position is part the BSA/AML Quantitative Modeling team. The department specific responsibilities include the following:
Assist with the designs and construct of in-house and vendor supported models such as SAS AML transaction monitoring scenarios and OFAC sanction screening system.
Execute periodic tuning for the threshold parameters of the scenarios/models.
Develop post processing models to reduce the amount of false positives generated by the scenarios/models.
Document model developments and tuning exercises using model documentation template specified by Model Risk/Model Validation department.
Work with technology team on testing and implementation of the models.
Design ongoing monitoring plan to monitor the performance of the models and develop ongoing monitoring reports based on the plan.
Execute the ongoing monitoring reports and report findings to model owner(s) and/or committees.
Support Model Validation on their validation or periodic review of the scenarios/models.
Remediate the issues identified by Model Validation.
Proficiency with R.
At Regions, our culture focuses on five core values that are a commitment to how we will do business:
Put people first
Do what is right
Focus on your customer
Through these values, our mission to make life better drives our desire to improve and make a positive difference in the communities where we work and live through financial investments and volunteering.